Complete mechanical behavior analysis of FG Nano Beam under non-uniform loading using non-local theory

Ghaffari, Iman; Yaghoobi, Mohammad Parhizkar; Ghannad, Mehdi

doi:10.1088/2053-1591/aaa206

Cited by 12 publications

(5 citation statements)

References 41 publications

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“…iPSC derivation and differentiation is a multi-step processes and experimental procedure variations can produce different outcomes ( Popp et al, 2018 ). Often, the impact of variation can overpower any biological differences, especially where sample sizes are small ( Ghaffari et al, 2018 ). Studies have also confirmed that the individual donor’s genetic background and differences in differentiation protocols might significantly influence the methylation landscape, affecting pluripotency between iPSCs from different donors ( de Boni et al, 2018 ).…”

Section: Modeling Rtt Using Brain Organoidsmentioning

confidence: 99%

Pre-clinical Investigation of Rett Syndrome Using Human Stem Cell-Based Disease Models

et al. 2021

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Rett syndrome (RTT) is an X-linked neurodevelopmental disorder, mostly caused by mutations in MECP2. The disorder mainly affects girls and it is associated with severe cognitive and physical disabilities. Modeling RTT in neural and glial cell cultures and brain organoids derived from patient- or mutation-specific human induced pluripotent stem cells (iPSCs) has advanced our understanding of the pathogenesis of RTT, such as disease-causing mechanisms, disease progression, and cellular and molecular pathology enabling the identification of actionable therapeutic targets. Brain organoid models that recapitulate much of the tissue architecture and the complexity of cell types in the developing brain, offer further unprecedented opportunity for elucidating human neural development, without resorting to conventional animal models and the limited resource of human neural tissues. This review focuses on the new knowledge of RTT that has been gleaned from the iPSC-based models as well as limitations of the models and strategies to refine organoid technology in the quest for clinically relevant disease models for RTT and the broader spectrum of neurodevelopmental disorders.

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Section: Modeling Rtt Using Brain Organoidsmentioning

confidence: 99%

Pre-clinical Investigation of Rett Syndrome Using Human Stem Cell-Based Disease Models

et al. 2021

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“…This recapitulates that at the IPSC stage, there are very few molecular differences between RTT and isogenic controls and that gene expression patterns can vary greatly among the different samples especially with a small sample size (e.g., [17,27,41]). Some of these differences are hypothesised to stem from the technical variability arisen in iPSC derivation and the methodology of cell differentiation [42,43]. It is important to note therefore that even with powerful gene-network based analysis, subtle molecular changes in undifferentiated cells can be eclipsed by limitations of the model and technique.…”

Section: Limitations Of Study Design and Mutation Type For Constructing Co-expression Network And Module Enrichment Analysismentioning

confidence: 99%

WGCNA Identifies Translational and Proteasome-Ubiquitin Dysfunction in Rett Syndrome

Haase

Gloss

Tam

et al. 2021

IJMS

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Rett Syndrome (RTT) is an X linked neurodevelopmental disorder caused by mutations in the methyl-CpG-binding protein 2 (MECP2) gene, resulting in severe cognitive and physical disabilities. Despite an apparent normal prenatal and postnatal development period, symptoms usually present around 6 to 18 months of age. Little is known about the consequences of MeCP2 deficiency at a molecular and cellular level before the onset of symptoms in neural cells, and subtle changes at this highly sensitive developmental stage may begin earlier than symptomatic manifestation. Recent transcriptomic studies of patient induced pluripotent stem cells (iPSC)-differentiated neurons and brain organoids harbouring pathogenic mutations in MECP2, have unravelled new insights into the cellular and molecular changes caused by these mutations. Here we interrogated transcriptomic modifications in RTT patients using publicly available RNA-sequencing datasets of patient iPSCs harbouring pathogenic mutations and healthy control iPSCs by Weighted Gene Correlation Network Analysis (WGCNA). Preservation analysis identified core gene pathways involved in translation, ribosomal function, and ubiquitination perturbed in some MECP2 mutant iPSC lines. Furthermore, differential gene expression of the parental fibroblasts and iPSC-derived neurons revealed alterations in genes in the ubiquitination pathway and neurotransmission in fibroblasts and differentiated neurons respectively. These findings might suggest that global translational dysregulation and proteasome ubiquitin function in Rett syndrome begins in progenitor cells prior to lineage commitment and differentiation into neural cells.

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“…It equals to 5/6 in the static state (Ghannad et al, 2013). According to the principle of virtual work, the energy changes in the electromechanical potential of the structure are equal to the changes of work caused by the external electromechanical forces applied to the structure ( δ W = δ U ) (Benjeddou, 2000; Benjeddou and Andrianarison, 2005; Ghaffari et al, 2018), where U is the electromechanical potential energy of the whole body and W denotes the whole work due to the applied pressure and electric flux on the inner and outer surfaces of the cylinder. The electromechanical potential energy of the whole body and the work resulting from these applied forces are calculated as (Benjeddou, 2000; Benjeddou and Andrianarison, 2005)…”

Section: Governing Equationsmentioning

confidence: 99%

Electro-elastic analysis of functionally graded piezoelectric variable thickness cylindrical shells using a first-order electric potential theory and perturbation technique

Yaghoobi

Ghannad

2020

Journal of Intelligent Material Systems and Structures

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In this research, an analytical solution is presented for the functionally graded piezoelectric cylindrical variable wall thickness that is subjected to mechanical and electrical loading. The non-homogeneous distribution of materials is considered as a power function. The first-order electric potential theory, first-order shear deformation theory, and the energy method are used for extracting the system of governing equations. The solution is accomplished using the matched asymptotic expansion method of the perturbation technique. The effects of non-homogeneous properties on the electromechanical are discussed. Since the intensity of variations in the distribution of properties in functionally graded piezoelectric cylinders can be changed using non-homogeneity constant, the electromechanical behavior of the cylinder can be changed by non-homogeneity constant. By reducing the electric or displacement field in functionally graded piezoelectric cylinders, de-polarization or loss of piezoelectric properties may be averted. Results indicate that non-homogeneity constant has a significant effect on the electromechanical behavior. However, in some cases, the effects of non-homogeneity constant may be neglected. Comparing these results with those predicted by the plane elasticity theory and finite element method shows good agreement. In fact, the present solution can be considered as an objective function to optimize the properties and behavior.

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Complete mechanical behavior analysis of FG Nano Beam under non-uniform loading using non-local theory

Cited by 12 publications

References 41 publications

Pre-clinical Investigation of Rett Syndrome Using Human Stem Cell-Based Disease Models

Pre-clinical Investigation of Rett Syndrome Using Human Stem Cell-Based Disease Models

WGCNA Identifies Translational and Proteasome-Ubiquitin Dysfunction in Rett Syndrome

Electro-elastic analysis of functionally graded piezoelectric variable thickness cylindrical shells using a first-order electric potential theory and perturbation technique

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